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xlm-roberta-base_lr2e-05_seed42_basic_original_amh-hau-eng_train
shanhy/xlm-roberta-base_lr2e-05_seed42_basic_original_amh-hau-eng_train
xlm-roberta-base_lr2e-05_seed42_basic_original_amh-hau-eng_train is a text classification model from shanhy. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Feb 16, 2024
- Updated
- Feb 16, 2024
- SHA
- ed8c797d
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
xlm-roberta-base_lr2e-05_seed42_basic_original_amh-hau-eng_train
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0295
- Spearman Corr: 0.7788
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 32
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Spearman Corr |
|---|---|---|---|---|
| No log | 1.55 | 200 | 0.0288 | 0.7700 |
| 0.0535 | 3.1 | 400 | 0.0262 | 0.7801 |
| 0.022 | 4.65 | 600 | 0.0266 | 0.7743 |
| 0.0167 | 6.2 | 800 | 0.0294 | 0.7817 |
| 0.0167 | 7.75 | 1000 | 0.0328 | 0.7672 |
| 0.0133 | 9.3 | 1200 | 0.0284 | 0.7777 |
| 0.0101 | 10.85 | 1400 | 0.0283 | 0.7836 |
| 0.0083 | 12.4 | 1600 | 0.0282 | 0.7796 |
| 0.0068 | 13.95 | 1800 | 0.0303 | 0.7774 |
| 0.0068 | 15.5 | 2000 | 0.0339 | 0.7734 |
| 0.0059 | 17.05 | 2200 | 0.0265 | 0.7750 |
| 0.0052 | 18.6 | 2400 | 0.0295 | 0.7788 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Feb 16, 2024
- Updated
- Feb 16, 2024